%0 Journal Article %1 xiong2004peertrust %A Xiong, Li %A Liu, Ling %D 2004 %J Knowledge and Data Engineering, IEEE Transactions on %K adversarial-ir, p2p %N 7 %P 843--857 %T PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities %U http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1318566 %V 16 %X Peer-to-peer (P2P) online communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such communities is to use community-based reputations to help estimate the trustworthiness of peers. We present PeerTrust - a reputation-based trust supporting framework, which includes a coherent adaptive trust model for quantifying and comparing the trustworthiness of peers based on a transaction-based feedback system, and a decentralized implementation of such a model over a structured P2P network. PeerTrust model has two main features. First, we introduce three basic trust parameters and two adaptive factors in computing trustworthiness of peers, namely, feedback a peer receives from other peers, the total number of transactions a peer performs, the credibility of the feedback sources, transaction context factor, and the community context factor. Second, we define a general trust metric to combine these parameters. Other contributions of the paper include strategies used for implementing the trust model in a decentralized P2P environment, evaluation mechanisms to validate the effectiveness and cost of PeerTrust model, and a set of experiments that show the feasibility and benefit of our approach.

@article{xiong2004peertrust, abstract = {Peer-to-peer (P2P) online communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such communities is to use community-based reputations to help estimate the trustworthiness of peers. We present PeerTrust - a reputation-based trust supporting framework, which includes a coherent adaptive trust model for quantifying and comparing the trustworthiness of peers based on a transaction-based feedback system, and a decentralized implementation of such a model over a structured P2P network. PeerTrust model has two main features. First, we introduce three basic trust parameters and two adaptive factors in computing trustworthiness of peers, namely, feedback a peer receives from other peers, the total number of transactions a peer performs, the credibility of the feedback sources, transaction context factor, and the community context factor. Second, we define a general trust metric to combine these parameters. Other contributions of the paper include strategies used for implementing the trust model in a decentralized P2P environment, evaluation mechanisms to validate the effectiveness and cost of PeerTrust model, and a set of experiments that show the feasibility and benefit of our approach.}, added-at = {2009-08-06T15:16:38.000+0200}, author = {Xiong, Li and Liu, Ling}, biburl = {https://www.bibsonomy.org/bibtex/24548dbe20a76405c41036fc7cf4c28cf/chato}, citeulike-article-id = {246238}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1318566}, citeulike-linkout-1 = {http://citeseer.ist.psu.edu/730418.html}, interhash = {4056c9e265f305ed2e6007808d0106f2}, intrahash = {4548dbe20a76405c41036fc7cf4c28cf}, journal = {Knowledge and Data Engineering, IEEE Transactions on}, keywords = {adversarial-ir, p2p}, number = 7, pages = {843--857}, posted-at = {2007-02-01 17:30:42}, priority = {2}, timestamp = {2009-08-06T15:16:49.000+0200}, title = {PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1318566}, volume = 16, year = 2004 }